Kinga Molnár

1.1k citations
30 papers · 816 · h-index 17

Impact in

Papers in

    • Inflammasome and immune disorders 5
    • Extracellular vesicles in disease 3
    • Barrier Structure and Function Studies 6

Kinga Molnár

29 papers receiving 798 citations

Peers

Kinga Molnár
Comparison fields: 5 of 104
  • Biological Psychiatry 38
  • Neurology 122
  • Polymers and Plastics 181
  • Cancer Research 95
  • Process Chemistry and Technology 20
Replace Saejeong Kim with:
Saejeong Kim United States
Shenghua Li China
Kevin Liaw United States
Jonathan Hartman United States
Panagiotis Mastorakos United States
Hee Jung Yoon South Korea
Zeyuan Cao China
Jisook Lee United States
Yin Li China
Heechul Kim South Korea
Kinga Molnár relative to Saejeong Kim United States Saejeong Kim's profile →
Citations per field
00.5×2×4×5.5×
Saejeong Kim · 1×
Citations per year

Countries citing papers authored by Kinga Molnár

Since Specialization
Citations

This map shows the geographic impact of Kinga Molnár's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kinga Molnár with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kinga Molnár more than expected).

Fields of papers citing papers by Kinga Molnár

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kinga Molnár. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kinga Molnár. The network helps show where Kinga Molnár may publish in the future.

Co-authors

The 25 scholars most cited alongside Kinga Molnár, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kinga Molnár Line = papers co-authored together Kinga Molnár links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010196
2 201762
3 202061
4 201947
5 200939
6 202036
7 202035
8 201029
9 200929
10 201729
11 201929
12 202228
13 202025
14 201224
15 202223
16 202121
17 202119
18 202116
19 202313
20 202112

About Kinga Molnár

Kinga Molnár is a scholar working on Molecular Biology, Neurology, Pulmonary and Respiratory Medicine, Oncology and Cancer Research, having authored 30 papers that have together received 816 indexed citations. Recurring topics across this work include Barrier Structure and Function Studies (6 papers), Inflammasome and immune disorders (5 papers), Brain Metastases and Treatment (5 papers), Cancer Cells and Metastasis (4 papers), Polymer composites and self-healing (4 papers), Cellular Mechanics and Interactions (3 papers), Polymer Nanocomposites and Properties (3 papers) and Extracellular vesicles in disease (3 papers). The work is most often cited by research in Biological Psychiatry (38 citations), Neurology (122 citations), Polymers and Plastics (181 citations), Cancer Research (95 citations) and Process Chemistry and Technology (20 citations). Kinga Molnár has collaborated with scholars based in Hungary, Romania and United States. Frequent co-authors include Béla Pukánszky, Kristóf Bagdi, Imola Wilhelm, István A. Krizbai, G. Julius Vancsó, Peter Schön, János Haskó, Ádám Nyúl‐Tóth, Ádám Mészáros and Csilla Fazakas. Their work appears in journals such as European Polymer Journal, Acta Neuropathologica Communications, International Journal of Molecular Sciences, Molecular Oncology and Colloids and Surfaces B Biointerfaces.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact